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AI-aided metaheuristic optimized framework for job sequencing and machine failure prediction in T-shirt production system
The Improved Grey Wolf Optimization (IGWO) algorithm is proposed to enhance exploration and convergence efficiency and show that IGWO achieves better job sequencing with reduced make-span, lower production cost, and improved resource utilization compared to standard GWO.
Comparative performance evaluation of machine learning classifiers for multi-class intrusion detection on the NSL-KDD dataset.
A feature-driven Intrusion Detection (ID) framework that combines XGBoost-based feature selection with multiple ML classifiers to improve attack detection performance while reducing computational complexity is proposed.